Prabhu Ramachandran

42 papers receiving 940 citations

Hit Papers

Mayavi: 3D Visualization of Scientific Data20112026201620212011100200300400

Peers

Prabhu Ramachandran
Comparison fields: 5 of 128
  • Computational Mechanics 340
  • Biomedical Engineering 154
  • Materials Chemistry 126
  • Atomic and Molecular Physics, and Optics 112
  • Mechanical Engineering 111
Replace J. Nittmann with:
J. Nittmann France
Sebastian C. Kapfer Germany
Massimo Pica Ciamarra Italy
Taizo Kobayashi Japan
Stefan Stefanov Bulgaria
Naoya Okamoto Japan
Stefanos Papanikolaou United States
Nicolas François Australia
Stéphane Santucci France
Jearl Walker United States
Prabhu Ramachandran relative to J. Nittmann France J. Nittmann's profile →
Citations per field
00.5×10×13.7×
J. Nittmann · 1×
Citations per year

Countries citing papers authored by Prabhu Ramachandran

Since Specialization
Citations

This map shows the geographic impact of Prabhu Ramachandran's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Prabhu Ramachandran with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Prabhu Ramachandran more than expected).

Fields of papers citing papers by Prabhu Ramachandran

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Prabhu Ramachandran. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Prabhu Ramachandran. The network helps show where Prabhu Ramachandran may publish in the future.

Co-authorship network of co-authors of Prabhu Ramachandran

This figure shows the co-authorship network connecting the top 25 collaborators of Prabhu Ramachandran. A scholar is included among the top collaborators of Prabhu Ramachandran based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Prabhu Ramachandran. Prabhu Ramachandran is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
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2 4
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5 4
6 4
7 14
8 19
9 1
10 49
11
Mayavi2: 3D Scientific Data Visualization and Plottin'
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12 1
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14 13
15 1
16 11
17 38
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Anodic polarisation of lead in H2SO4 solution – effect of cobalt (II) as solution species
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19 2
20 37

About Prabhu Ramachandran

Prabhu Ramachandran is a scholar working on Computational Mechanics, Metals and Alloys and Electrochemistry, having authored 44 papers that have together received 982 indexed citations. Recurring topics across this work include Fluid Dynamics Simulations and Interactions (22 papers), Lattice Boltzmann Simulation Studies (17 papers) and Fluid Dynamics and Heat Transfer (12 papers). The work is most often cited by research in Computational Mechanics (340 citations), Statistical and Nonlinear Physics (74 citations) and Astronomy and Astrophysics (76 citations). Prabhu Ramachandran has collaborated with scholars based in India, France and United States. Frequent co-authors include Gaël Varoquaux, Mrudang Mathur, M. Ramakrishna, S. Visvanathan, Sreekumar Chockalingam, K. Balakrishnan, R. Srinivasan, Lorena A. Barba, S. Srinivasan and S. Vaidyanathan. Their work appears in journals such as Journal of Power Sources, Journal of Computational Physics and International Journal of Heat and Mass Transfer.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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